2024 3rd International Conference on Machine Vision, Automatic Identification and Detection (MVAID 2024)

Welcome Prof. Zhikui Chen, Dalian University of Technology, China to be the TPC!

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Prof. Zhikui Chen, Dalian University of Technology, China


陈志奎,2007年11月至今,大连理工大学教授,博士生导师,大连理工大学大数据研究所所长。研究方向:大数据与人工智能。1998-2007在香港浸会大学,法国自动化研究所,德国斯图加特大学从事网络与数据计算方面的科学研究。近5年主持的国家项目:

1.       国家重点研发计划课题1项,跨域立案及与专业法院协同关键技术研究,(2018YFC0831300,2018.7.1-2021.6.30,总经费1115万元);

2.       国家重点研发计划子课题1项,农田和农产品重金属源解析与污染特征研究(2016YFD0800300,2016.1.1-2020.12.31)

3.       国家自然基金联合重点基金1项(技术负责人),面向“三旧”改造的多源异构大数据管理分析与挖掘研究(U1301253,2014.1-2017.12);

4.       自然基金面上项目2项,面向土地资源特征学习的自适应深度计算模型研究(61672123)、面向土地利用现状判读的小样本跨模态学习模型(62076047),2021/01-2024/12。

近5年的学术业绩与贡献:

创建了一系列大数据计算理论与算法以及人工智能技术,研制了大数据算法库平台,构建了人工智能计算平台,并应用工程实践。发表学术论文100余篇, SCI检索期刊50余篇。申请发明专利20项,已经授权13项。获得软件著作权4项,科学出版社专著一部,教材3部。海南省科技进步一等奖(2021),地理信息协会科技进步特等奖1项(2020)、一等奖1项(2018)、二等奖奖1项(2016);测绘科学技术二等奖(2021),华夏建设科学技术奖三等奖1项(2021),测绘科技进步奖二等奖。


Dr. Chen Zhikui, professor and doctoral supervisor of Dalian University of Technology since November 2007, director of big data Research Institute of Dalian University of technology. Research direction: big data and artificial intelligence. 1998-2007 engaged in scientific research on network and data computing in Hong Kong Baptist University, French Institute of automation, University of Stuttgart, Germany. National projects in recent five years:

National key R & D project, Key technology research for cross-domain case filing and collaboration among professional courts (2018YFC083130020, 18.7.1-2021.6.30, with total funding of 11.15 million yuan);

National key R & D program, Source apportionment and pollution characteristics of heavy metals in farmland and agricultural products (2016YFD08030202016.1.1-2020.12.31);

Key project of National Natural Science Foundation of China (NSFC) (technical director), research on management analysis and mining of multi-source heterogeneous big data for "three old" transformation (u13012532014.1-2017.12);

Two general projects of NSFC, research on adaptive depth computing model for land resource feature learning (61672123), Research on few-shots cross-modal learning model for interpretation of land utilization status data (62076047), 2021 / 01-2024 / 12.

Academic achievements and contributions in recent five years:

A series of big data computing theories and algorithms as well as artificial intelligence technology has been created, a big data algorithm library platform has been developed, and an artificial intelligence computing platform has been constructed, which has been applied in engineering practice. Published more than 100 academic papers and more than 50 SCI retrieved journals. 20 invention patents have been applied and 13 have been authorized. Four software copyrights were issued and three books were published. One special award, first award, and the second award of science and technology progress of Geographic Information Association in 2020,2018,2016; One-third award of Huaxia Construction Science and technology in 2021.